Describe a business situation that would involve probabilities. Then present a variation on this (or another) situation that might involve conditional probability. - In response, other students can make assumptions about these situations and pose a question for a specific probability. - Finally, a third student can show the work of calculating the probability.

Quantity of Quarks 2 4 6 8 10 12 14 16 18 20 Quantity of Quirks 11. Refer to the graph above to answer this question. If this society chooses to produce 10 quirks, what is the maximum quantity of quarks it can produce? A) 500 quarks. B) 800 quarks. C) No quark quarks. D) 600 quarks.Your team also identified the data that needed to be gathered: a) Number of hours of production time available per week in each plant for these new products. The available capacity for new products is limited in all three plants. b) Number of hours of production time used in each plant for each batch produced of each new product. Profit per batch produced of each new product. Your team chose this measure of profit as an appropriate measure after the team concluded that the incremental profit from each additional batch produced would be roughly constant regardless of the total number of batches produced. Because no substantial costs will be incurred to initiate the production and marketing of these new products, the total profit from each one is approximately this 'profit per batch produced" times "the number of batches produced". d) The table below summarizes the data gathered. After examining the information, your team recognizes this as a classic product-mix type of linear programming problem, and takes steps to solve the problem. Production Time Per Batch, hours Production Time Plant Product 1 Product 2 Available per wk, hours O Profit per Batch $ 3.000 $ 5.000a. What is the interpretation of conditional probability in terms of new information? b. Is the conditional probability of A given B always the same number as the conditional probability of B given A? c. How can you find the conditional probability from the probabilities of two events and the probability of their intersection? d. What are the conditional probabilities for two independent events? e. Is the conditional probability of A given B a probability about A or a probability about B